使,.

Prosenjit Das1, Proshenjit Sarker1, Jun-Jiat Tiang2

  • 1Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.

概括

这项研究使用机器学习来分类乳腺癌 (BC) 病例. 优化旋转森林的硬投票策略实现了85.71%的准确性,将BMI和葡萄糖确定为关键预测特征.

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